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AlgoNotes is a curated technical knowledge repository focused on recommendation systems, search, advertising, and machine learning. It collects articles, engineering practices, research summaries, and interview materials in one organized index. Major sections cover ranking and conversion prediction, recall and matching, user profiles, and feature engineering. It also includes recommendation and search topics, computational advertising, big data, and graph algorithms. Additional material covers NLP, computer vision, technical discussions, and job interviews. The repository serves as a structured reference hub for practitioners and learners exploring applied machine learning systems.
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- Ranking and conversion prediction resources
- Recall and matching algorithm materials
- User profiling and feature engineering
- Recommendation, search, and advertising topics
- Big data and graph algorithm resources
- NLP, computer vision, and interview materials
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